使用一种新型无体模双能CT后处理算法评估腰椎骨密度,并与双能X线吸收法进行比较。

Evaluation of bone mineral density of the lumbar spine using a novel phantomless dual-energy CT post-processing algorithm in comparison with dual-energy X-ray absorptiometry.

作者信息

Booz Christian, Hofmann Philipp C, Sedlmair Martin, Flohr Thomas G, Schmidt Bernhard, D'Angelo Tommaso, Martin Simon S, Lenga Lukas, Leithner Doris, Vogl Thomas J, Wichmann Julian L

机构信息

1Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany.

2Siemens Healthcare, Computed Tomography Division, Forchheim, Germany.

出版信息

Eur Radiol Exp. 2017;1(1):11. doi: 10.1186/s41747-017-0017-2. Epub 2017 Sep 20.

Abstract

BACKGROUND

Current techniques for evaluation of bone mineral density (BMD) commonly require phantom calibration. The purpose of this study was to evaluate a novel algorithm for phantomless in vivo dual-energy computed tomography (DECT)-based assessment of BMD of the lumbar spine in comparison with dual-energy X-ray absorptiometry (DEXA).

METHODS

Data from clinically indicated DECT and DEXA examinations within two months comprising the lumbar spine of 47 patients were retrospectively evaluated. By using a novel automated dedicated post-processing algorithm for DECT, the trabecular bone of lumbar vertebrae L1-L4 was selected and analysed. Linear correlation was analysed using Pearson's product-moment correlation coefficient for the comparison of the results from DECT and DEXA.

RESULTS

A total of 186 lumbar vertebrae in 47 patients (mean age, 58 years; age range, 24-85 years) were analysed, 24 men (mean age, 55 years; age range, 24-85 years) and 23 women (mean age, 59 years; age range, 31-80 years). Mean BMD of L1-L4 determined with DEXA was 0.985 g/cm and 20/47 patients (42.6%) showed an osteoporotic BMD (T score lower than - 2.5) of at least two vertebrae. Average DECT-based BMD of L1-L4 was 86.8 mg/cm. Regression analysis demonstrated a lack of correlation between DECT- and DEXA-based BMD values with a Pearson's product-moment correlation coefficient r = 0.4205.

CONCLUSIONS

Dedicated post-processing of DECT data using a novel algorithm for retrospective phantomless BMD assessment of the trabecular bone of lumbar vertebrae from clinically indicated DECT examinations is feasible.

摘要

背景

目前评估骨密度(BMD)的技术通常需要体模校准。本研究的目的是评估一种基于双能计算机断层扫描(DECT)的新型无体模体内腰椎骨密度评估算法,并与双能X线吸收法(DEXA)进行比较。

方法

回顾性评估47例患者在两个月内进行的临床指征性DECT和DEXA检查数据,这些检查包括腰椎。通过使用一种新型的DECT自动专用后处理算法,选择并分析L1-L4腰椎的小梁骨。使用Pearson积矩相关系数分析线性相关性,以比较DECT和DEXA的结果。

结果

共分析了47例患者(平均年龄58岁;年龄范围24-85岁)的186个腰椎,其中男性24例(平均年龄55岁;年龄范围24-85岁),女性23例(平均年龄59岁;年龄范围31-80岁)。DEXA测定的L1-L4平均骨密度为0.985 g/cm²,20/47例患者(42.6%)至少有两个椎体的骨密度呈骨质疏松状态(T值低于-2.5)。基于DECT的L1-L4平均骨密度为86.8 mg/cm²。回归分析表明,基于DECT和DEXA的骨密度值之间缺乏相关性,Pearson积矩相关系数r = 0.4205。

结论

使用一种新型算法对DECT数据进行专用后处理,以从临床指征性DECT检查中对腰椎小梁骨进行回顾性无体模骨密度评估是可行的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed3d/6091705/7c708039c2e9/41747_2017_17_Fig1_HTML.jpg

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